| Title: |
A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound images |
| Authors: |
He, XingweiAff1, Aff2; Mohamed, Mohamed O.Aff1, Aff3; Ng, Nathaniel Yu JianAff1; Kumaran, ThamilAff4; Bajaj, ReteshAff1, Aff4; Yap, Nathan Angelo LecarosAff1; Erdogan, EmrahAff5; Zeren, GonulAff4; Mathur, AnthonyAff1, Aff4; Ulutas, Ahmet EmirAff4; Gao, BoAff6; Zhang, YaojunAff7; Baumbach, AndreasAff1, Aff4; Dijkstra, JoukeAff8; Bourantas, Christos V.Aff1, Aff4, IDs10554025035838_cor1 |
| Source: |
The International Journal of Cardiovascular Imaging: X-Ray Imaging, Intravascular Imaging, Echocardiography, Nuclear Cardiology, Computed Tomography and Magnetic Resonance Imaging. 42(1):87-98 |
| Database: |
Springer Nature Journals |